{"id":"W3163901969","doi":"10.1101/2021.05.12.443851","title":"LaminaRGeneVis: a tool to visualize gene expression across the laminar architecture of the human neocortex","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Health Canada; Canadian Open Neuroscience Platform; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Neocortex; Computational biology; Computer science; Expression (computer science); Gene; Gene expression; Source code; Function (biology); RNA; Code (set theory); Architecture; Biology; Neuroscience; Genetics; Set (abstract data type); Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219868,0.001410637,0.001060794,0.002612241,0.0007402478,0.002078566,0.001533578,0.0009594635,0.03903139],"category_scores_gemma":[0.001850658,0.001201126,0.001167548,0.001879959,0.0004053618,0.001264238,0.002276024,0.00126983,0.01370236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005495567,"about_ca_system_score_gemma":0.0009992503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970461,"about_ca_topic_score_gemma":0.003270438,"domain_scores_codex":[0.9995518,0.00005597995,0.00003529574,0.0001290128,0.0001736801,0.00005419624],"domain_scores_gemma":[0.9994156,0.0003026984,0.00006863938,0.0000974426,0.00005856827,0.00005704194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001642894,0.0002241824,0.008744574,0.003388611,0.0006427912,0.0008788831,0.001361852,0.008410902,0.1046498,0.01264892,0.7042994,0.1531071],"study_design_scores_gemma":[0.0008446628,0.0002345486,0.03473817,0.0008325134,0.0002751107,0.001587629,0.0004995198,0.1014342,0.1202409,0.05190294,0.6869214,0.0004883492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.02266402,0.000928321,0.2516682,0.0005952155,0.0003113424,0.0003025437,0.2692255,0.4442267,0.01007822],"genre_scores_gemma":[0.1017317,0.001414503,0.4159417,0.001079691,0.0001712183,0.003663028,0.3472583,0.117623,0.0111169],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03903139,"threshold_uncertainty_score":0.130573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164524880689434,"score_gpt":0.2433077193635925,"score_spread":0.2316624705566982,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}